Mikhail Ananyev

Mikhail Ananyev, Ph.D., is a highly skilled data scientist with extensive experience in data analysis, machine learning, and econometrics. Currently serving as a data scientist at Pensionfriend and Hypofriend since late 2022, Mikhail previously contributed significantly to Lingoda GmbH by developing predictive models for churn, optimizing analytics processes with ETL pipelines, and collaborating cross-functionally to enhance data modeling and insights. Mikhail's background includes freelance data analysis, research assistance at the IZA - Institute of Labor Economics, and earlier roles at the Keldysh Institute of Applied Mathematics and PwC. Academically, Mikhail holds a Ph.D. in applied microeconomics from the University of Bonn, alongside multiple degrees in applied mathematics and economics.